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KinectFusion: Real-Time Dense Surface Mapping and …

kinectfusion : Real-Time Dense Surface Mapping and Tracking Richard A. NewcombeImperial College LondonShahram IzadiMicrosoft ResearchOtmar HilligesMicrosoft ResearchDavid MolyneauxMicrosoft ResearchLancaster UniversityDavid KimMicrosoft ResearchNewcastle UniversityAndrew J. DavisonImperial College LondonPushmeet KohliMicrosoft ResearchJamie ShottonMicrosoft ResearchSteve HodgesMicrosoft ResearchAndrew FitzgibbonMicrosoft ResearchFigure 1: Example output from our system, generated in Real-Time with a handheld Kinect depth camera and no other sensing maps (colour) and Phong-shaded renderings (greyscale) from our Dense reconstruction system are shown. On the left for comparisonis an example of the live, incomplete, and noisy data from the Kinect sensor (used as input to our system).ABSTRACTWe present a system for accurate Real-Time Mapping of complex andarbitrary indoor scenes in variable lighting conditions, using only amoving low-cost depth camera and commodity graphics fuse all of the depth data streamed from a Kinect sensor intoa single global implicit Surface model of the observed scene inreal- time .

Research on simultaneous localisation and mapping (SLAM) has focused more on real-time markerless tracking and live scene re- ... Users can simply pick up and move a Kinect device to generate a continuously updating, smooth, fully fused 3D surface reconstruction. Using only depth data, the system

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  Surfaces, Time, Mapping, Real, Move, Simultaneous, Dense, Kinectfusion, Real time dense surface mapping and

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